Skip to main content
SpringerLink
Log in

Conceptual Information Retrieval

A Case Study in Adaptive Partial Parsing

  • Book
  • © 1991

Overview

Authors:
  1. Michael L. Mauldin

    1. Carnegie Mellon University, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 152)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 chapters)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Introduction

    • Michael L. Mauldin
    Pages 1-16

  3. Current Approaches

    • Michael L. Mauldin
    Pages 17-38

  4. Conceptual Understanding of Text

    • Michael L. Mauldin
    Pages 39-54

  5. The Ferret System

    • Michael L. Mauldin
    Pages 55-87

  6. Script Learning

    • Michael L. Mauldin
    Pages 89-107

  7. Empirical Studies

    • Michael L. Mauldin
    Pages 109-132

  8. Conclusion

    • Michael L. Mauldin
    Pages 133-151

  9. Back Matter

    Pages 153-215
    Download chapter PDF
Back to top

Keywords

About this book

The infonnation revolution is upon us. Whereas the industrial revolution heralded the systematic augmentation of human physical limitations by har­ nessing external energy sources, the infonnation revolution strives to augment human memory and mental processing limitations by harnessing external computational resources. Computers can accumulate. transmit and output much more infonnation and in a more timely fashion than more con­ ventional printed or spoken media. Of greater interest, however, is the computer's ability to process, classify and retrieve infonnation selectively in response to the needs of each human user. One cannot drink from the fire hydrant of infonnation without being immediately flooded with irrelevant text. Recent technological advances such as optical character readers only exacerbate the problem by increasing the volume of electronic text. Just as steam and internal combustion engines brought powerful energy sources under control to yield useful work in the industrial revolution, so must we build computational engines that control and apply the vast infonnation sources that they may yield useful knowledge. Information science is the study of systematic means to control, classify, process and retrieve vast amounts of infonnation in electronic fonn. In par­ ticular, several methodologies have been developed to classify texts manually by annies of human indexers, as illustrated quite clearly at the National Library ofMedicine, and many computational techniques have been developed to search textual data bases automatically, such as full-text keyword searches. In general.

Authors and Affiliations

  • Carnegie Mellon University, USA

    Michael L. Mauldin

Bibliographic Information

  • Book Title: Conceptual Information Retrieval

  • Book Subtitle: A Case Study in Adaptive Partial Parsing

  • Authors: Michael L. Mauldin

  • Series Title: The Springer International Series in Engineering and Computer Science

  • DOI: https://doi.org/10.1007/978-1-4615-4004-5

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1991

  • Hardcover ISBN: 978-0-7923-9214-9Published: 30 September 1991

  • Softcover ISBN: 978-1-4613-6790-1Published: 12 October 2012

  • eBook ISBN: 978-1-4615-4004-5Published: 06 December 2012

  • Series ISSN: 0893-3405

  • Edition Number: 1

  • Number of Pages: XXI, 215

  • Topics: Artificial Intelligence, Computational Linguistics

Publish with us

Policies and ethics

Back to top

Search

Navigation